Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Modeling the relationship between concurrent epicardial action potentials and bipolar electrograms.

X S Zhang1, Y S Zhu, N V Thakor

  • 1Department of Biomedical Engineering, College of Life Science and Biotechnology, Shanghai, China. zhangx5@rpi.edu

IEEE Transactions on Bio-Medical Engineering
|April 28, 1999
PubMed
Summary

This study presents a novel signal analysis method to link heart cell action potentials (AP

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

[Incidence and associated factors of tyrosine kinase inhibitor withdrawal syndrome and psychological issues in patients with chronic-phase chronic myeloid leukemia after therapy discontinuation].

Zhonghua xue ye xue za zhi = Zhonghua xueyexue zazhi·2025
Same author

[Clinical efficacy and safety of Octocog alfa in Chinese patients with hemophilia A: One-year follow-up results from the Antihemophilic Factor Hemophilia A Outcome Database (AHEAD) study].

Zhonghua xue ye xue za zhi = Zhonghua xueyexue zazhi·2025
Same author

Coherency between Spike and LFP Activity in M1 during Hand Movements.

International IEEE/EMBS Conference on Neural Engineering : [proceedings]. International IEEE EMBS Conference on Neural Engineering·2025
Same author

[A case report of bilateral aldosterone-producing adenoma diagnosed by <sup>68</sup>Ga-Pentixafor PET/CT].

Zhonghua nei ke za zhi·2025
Same author

[Pathogenetic investigation of an outbreak of upper respiratory tract infection in a kindergarten in Baiyin City, Gansu Province].

Zhonghua yu fang yi xue za zhi [Chinese journal of preventive medicine]·2024
Same author

[Treatment status of tyrosine kinase inhibitor for newly-diagnosed chronic myeloid leukemia: a domestic multi-centre retrospective real-world study].

Zhonghua xue ye xue za zhi = Zhonghua xueyexue zazhi·2024

Area of Science:

  • Biomedical Engineering
  • Computational Biology
  • Cardiovascular Physiology

Background:

  • Understanding the relationship between cellular electrical activity and macroscopic electrocardiograms is crucial for diagnosing heart conditions.
  • Existing modeling methods may not adequately capture the complex dynamics of cardiac arrhythmias like ventricular fibrillation.

Purpose of the Study:

  • To develop and evaluate a nonlinear black-box modeling approach using wavelet networks to correlate epicardial cell action potentials (AP's) with bipolar electrograms.
  • To assess the efficacy of this method under different cardiac rhythm conditions, including normal sinus rhythm (NSR), ischemic conditions (NSRI), and ventricular fibrillation (VF).
  • To propose a new arrhythmia detection algorithm for potential use in implantable devices.

Main Methods:

Related Experiment Videos

  • Simultaneous measurement of electrical signals from the epicardium of isolated Langendorff-perfused rabbit hearts.
  • Application of a wavelet network, a nonlinear black-box modeling technique, to analyze the relationship between cell AP's and bipolar electrocardiograms.
  • Testing the model under three distinct rhythm conditions: NSR, NSRI, and VF.

Main Results:

  • The wavelet network model accurately captured the nonlinear input-output relationship and provided precise outputs for NSR and NSRI conditions.
  • The model failed to accurately represent the cardiac dynamics during VF, indicating its time-invariant nature is unsuitable for this chaotic rhythm.
  • Despite the modeling limitations, the study suggests the approach's utility in VF detection and introduces an algorithm for identifying rhythmic bifurcation.

Conclusions:

  • Time-invariant nonlinear modeling methods like wavelet networks are effective for analyzing cardiac electrical signals during normal and ischemic rhythms but not for chaotic rhythms like VF.
  • The findings highlight the time-varying and potentially chaotic nature of VF, necessitating different analytical approaches for this arrhythmia.
  • A novel arrhythmia detection algorithm has been developed, showing promise for integration into implantable cardiac devices for improved rhythm monitoring.